Identifying information assets within an enterprise using a semantic graph created using feedback re-enforced search and navigation
a technology of information assets and semantic graphs, applied in the field of management of information assets, can solve the problem that systems are often outnumbered by unmanaged systems
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[0016]Some enterprise-level information management systems provide a search interface which allow users to access information asset descriptions, data models, and / or other similar objects residing in a database or (or stored as metadata). Often however, the results presented using such tools result in significant ambiguity and confusion for the user, particularly for large result-sets. For example, a query result which includes a large count of returned assets can require many pages to be displayed. Further, such results may be interrelated in a variety of interesting ways not accounted for in the result set. As a result, end-users who are unaware as to how the information assets are organized can get lost in a large number of results and are forced to simply jump from one page to the other, hoping to find to the particular related assets they need. Further, when a user accesses one element of a search result, the interface does not provide any visibility to additional related asset...
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